American Indian/Alaska Native Research Articles

Consistency in Self-Reported Race-and-Ethnicity Over Time

Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity. Objectives: To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG. Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013–2018) and 2-year follow-up data (2015–2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group. We compare the consistency of self-reported race-and-ethnicity (HOS) to the accuracy of MBISG (using 2021 Medicare Consumer Assessment of Healthcare Providers and Systems data). Results: Concordance (C-statistic) of HOS baseline and follow-up self-reported race-and-ethnicity was 0.95–0.97 for AA&NHPI, Black, Hispanic, and White, 0.83 for AI/AN, and 0.72 for Multiracial using mutually exclusive categories (weighted concordance=0.956). Concordance of MBISG with self-report followed a similar pattern and had similar values, with somewhat lower AI/AN and Multiracial values. The concordance of individual endorsements over time was somewhat higher than for classification (weighted concordance=0.975). Conclusions: The concordance of MBISG with self-reported race-and-ethnicity appears to be limited by the consistency of self-report for some racial-and-ethnic groups when employing the 6-mutually-exclusive category approach. The use of individual endorsements can improve the consistency of self-reported data. Reconfiguring algorithms such as MBISG in this form could improve its overall performance.

Community-Engaged Development of Strengths-Based Nutrition Measures: The Indigenous Nourishment Scales

Mainstream approaches to nutrition typically focus on diet consumption, overlooking multi-dimensional aspects of nutrition that are important to American Indian/Alaska Native (AI/AN) communities. To address health challenges faced by AI/AN communities, strengths-based measures of nutrition grounded in community worldviews are needed. In collaboration with AI/AN communities in Baltimore and Minneapolis, we developed the Indigenous Nourishment Scales through three phases. Phase 1 involved focus group discussions with nine community-research council (CRC) members (n = 2) and four in-depth interviews (n = 4) to gather perspectives on existing models of nutrition. Phase 2 refined scales through two additional focus group discussions (n = 2) with a total of nine participants and two in-depth interviews (n = 2). Finally, in Phase 3, we held ten (n = 10) cognitive interviews with AI/AN community members to refine the scales. Participants appreciated the measures’ ability to provoke reflection on their relationship with nutrition and suggested adjustments to better capture cultural nuances, such as incorporating concepts like “being a good relative” to land. The Indigenous Nourishment Scales represent a departure from conventional approaches by encompassing multiple dimensions of nourishment, offering a framework that addresses epistemic injustices in nutrition measurement and grounds health measurement efforts directly in community perspectives and worldviews.

Racial and ethnic disparities in outcomes of diffuse large B cell lymphoma in adolescent and young adults: a SEER database analysis.

Data regarding racial disparities in the incidence, treatment, and outcomes of diffuse large B-cell lymphoma (DLBCL) is limited in the adolescent and young adult (AYA) population. We utilized the surveillance, epidemiology, and end-result (SEER) registry research plus database to evaluate racial/ethnic disparities in 8605 AYA patients with DLBCL. Race/ethnicity was categorized into three main subsets: non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), and 'other races' that included Hispanics (H), American Indian/Alaskan Native (AI/AN), Asian or Pacific Islander (A/PI). NHB were more likely to present with advanced stage disease (p < 0.001) and B symptoms (p < 0.001) and were less likely to receive chemotherapy(p < 0.001) compared to non-Hispanic white (NHW) patients and other races respectively. NHB patients had inferior 5-year disease specific survival (DSS) (70% vs 85% vs 80%, p < 0.001) and 5-year overall survival (OS) (66% vs 82% vs 77%, p < 0.001) compared to NHW and other races respectively. Black race was independently associated with both inferior DSS (HR 1.55, 95% CI 1.17-2.05, p = 0.002) and OS (HR 1.41, 95% CI 1.10-1.83, p = 0.007) after adjusting for age, gender, stage, presence of B symptoms, receipt of chemotherapy and radiation. NHB-DLBCL patients also had a lower 1-year relative survival rate (RSR) compared to NHW and other races. The low RSR in NHB patients persisted up to 5 years from diagnosis unlike NHW and other races. Our study shows that despite significant therapeutic advances in DLBCL over the last two decades, NHB AYA patients with DLBCL continue to have inferior survival outcomes compared to other ethnic and racial groups with disparities arising as early as the first year of diagnosis.

AUDIT‐C shows reliability when used online in patient portals

The Alcohol Use Disorders Identification Test–Consumption (AUDIT‐C) is a validated screen, but until recently has not been evaluated in routine conditions for adult primary care patients. A new study has found that AUDIT‐C screens have “excellent” test‐retest reliability, which assesses the consistency of results when given at two different times. Excellent test‐retest reliability means that there are similar results across separate test administrations, and the study, supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA), shows that the AUDIT‐C can be used reliably in adult primary care patients. The study, led by Claire B. Simon, M.D., of the University of Washington in Seattle, used electronic health record (EHR) data from Kaiser Permanente. For the study, more than 18,000 adult primary care patients completed two AUDIT‐C screens at 1 to 21 days apart as part of routine care in 2021. Screen results were reliable whether completed in person or online through patient portals. However, reliability was higher when the patient completed both screens using online patient portals, compared to completing both screens in the clinic or one in the clinic and one online. Therefore, completing two screens may be a better option than just doing one. The study, High test–retest reliability of the Alcohol Use Disorders Identification Test–Consumption (AUDIT‐C) questionnaire completed by primary care patients in routine care, is published in the February 2024 issue of Alcohol, Clinical and Experimental Research. The researchers also found that reliability was lower for American Indian/Alaska Native (AI/AN) patients and multiracial patients.

A Case for a Maternal Culturally Tailored Smoking Cessation Research Agenda

Background/Objectives: Despite national efforts, smoking rates during pregnancy remain high among certain demographics, particularly American Indian/Alaska Native and younger women. This study examines the causal link between maternal smoking, maternal and fetal mortality, and social determinants of health, highlighting disparities faced by Black, Indigenous, and People of Color (BIPOC) and American Indian/Alaskan Native (AIAN) pregnant persons. Methods: Data from various sources, including national reports and committee findings, were analyzed to assess trends in maternal smoking, mortality rates, and associated factors. While smoking rates among all groups have declined, disparities persist. Young women, BIPOC, and American Indian/Alaska Native women, and those with lower educational attainment, have higher smoking rates. Black women exhibit significantly higher maternal mortality rates, often linked to cardiac/coronary conditions. Stress, exacerbated by social determinants of health like poverty and housing insecurity, emerges as a key factor driving smoking behavior, particularly among African Americans. The leading causes of pregnancy-related deaths vary by race and ethnicity, with preventability noted in 80% of cases. Perinatal exposure to cigarette smoking is also identified as a leading cause of poor infant health outcomes, emphasizing the importance of addressing smoking behavior during and after pregnancy. Results: This report advocates for a comprehensive approach to reducing maternal and fetal mortality rates, with a focus on adapting existing smoking cessation programs to adopt culturally tailored agendas in order to address social and political determinants of health as well as behavioral drivers of tobacco use among pregnant persons.

Study protocol for Early Tracking of Childhood Health determinants (ETCHED): A longitudinal observational life course study

BackgroundThe prevalence of childhood obesity and diabetes continues to rise in the United States (US), especially among minority populations. The objective of the Early Tracking of Childhood Health Determinants (ETCHED) study is to investigate the role of adverse fetal and early-life risk exposures that contribute to the development of childhood obesity and metabolic risk.MethodsETCHED is a longitudinal observational study of American Indian/Alaska Native (AI/AN) and Hispanic pregnant woman and their offspring. Pregnant mothers ≥ 18 years old are enrolled at a large public hospital system in the southwestern US. Enrolled mothers are followed through pregnancy, delivery, and the maternal/offspring dyad will be followed until the child’s 18th birthday. At each maternal visit, questionnaires assessing medical history, diet, physical activity, sleep, perceived stress, and socioeconomic and sociocultural information are obtained. Standard laboratory tests during maternal visits include glycemic measures, lipids, and renal function. Additional bio samples obtained include venous blood samples and cord blood for obesity/metabolic biomarkers and genetic/epigenetic testing, urinalysis, placental tissue for examining functional pathways, breast milk for metabolomics, and stool for metabolites and microbiome analysis. The offspring will have 6 infant/toddler visits at 6–12 weeks, 4 months, 6 months, 18 months, 2 and 3 years respectively. Thereafter, they will undergo comprehensive research visits (major visits) at 4–5 years, 6–9 years, 10–13 years, and 14–17 years. The major visits in children include detailed medical history, anthropometry, developmental assessment, socioeconomic and environmental assessments (food insecurity, family structure, and childcare), feeding and activity, biochemical tests, genetics/epigenetic testing, and ultrasound elastography. Electronic health records will be reviewed for additional clinical information. The primary analysis will constitute estimation of correlation coefficients between continuous variables. The planned study duration in this ongoing study is 23-years.DiscussionThis is a life course study that that will examine biological and environmental risk factors for obesity and cardiometabolic risk from the intrauterine period to early childhood and adolescence in a population with high-risk of obesity and type 2 diabetes in the United States. The ETCHED study would also provide a unique opportunity to combine multi-omics and clinical data to create novel integrative models to predict the cardiometabolic risk associated with childhood obesity and possibly identify etiopathogenetic mechanisms and future targets of intervention.Trial registration numberClinicalTrials.gov identifier: NCT03481829. Updated July 19, 2024, https://clinicaltrials.gov/study/NCT03481829?cond=ETCHED&rank=1.

Supporting the Next Generation of Indigenous Psychologists: An Illustrative Case Example

To effectively increase American Indian/Alaska Native (AI/AN) representation in the psychological workforce and prepare AI/AN psychologists to serve AI/AN communities, transformation is critically needed in graduate training programs. Therefore, we provide an illustrative case example of a graduate student-led, cross-institutional Indigenous Research Group (IRG) mentored by an Indigenous faculty member. Using first-person and synthesized narratives, we summarize our transformative experience in the IRG as a journey in which we found belonging and community, culturally responsive mentorship and training, and the support to become emergent Indigenous psychologists. Informed by the student and faculty mentor reflections on the IRG, we then provide recommendations for graduate programs to support Indigenous students. Ultimately, the IRG is a testament to the creative ways Indigenous scholars navigate the academy and serves as well as a call for faculty to support the next generation of AI/AN psychologists.

Abstract A158: Community-based lung cancer screening navigation for populations at high risk

Abstract Rationale: Lung cancer screening (LCS) can reduce mortality in individuals with a high-risk smoking history, but uptake has been uneven and suboptimal. In our catchment area of Washington state, urban American Indian/Alaska Natives (AI/AN) and sexual and gender minorities (SGM) have high rates of commercial tobacco use and lower uptake of LCS. Mixed-methods community-engaged formative research with both populations revealed barriers to LCS related to social determinants of health, and interest in identity-tailored approaches to LCS care. We used this to develop tailored navigation approaches to LCS. Our study objective was to pilot and evaluate patient navigation programs to facilitate LCS uptake and care completion for these community members. Methods: We conducted parallel LCS navigation pilot studies, with participants who self-identified as AI/AN or as a member of SGM communities and who were LCS screen eligible. Participants were recruited through referrals to our multi-site university-based LCS program, community-based organization partnerships, outreach, and social media. Dedicated patient navigators were trained on LCS processes, navigation, and community-specific best practices. Navigation was guided by handbooks with barrier-specific resources, standardized scripting for contact points, and community-based resources specific to the populations. Participants completed pre- and post-navigation (1-3 months after enrollment) surveys and were followed for LCS uptake, outcomes, and navigation activities through chart review. Results: Between July 1, 2023 and February 1, 2024, 40 participants were enrolled in the navigation pilot studies, 21 in the AI/AN arm and 19 in the SGM arm. The median age of participants was 65 (interquartile range (IQR): 59-69), 80% reported current smoking, and 65% reported a household income below $30,000. Most (55%) reported at least one barrier that delayed access to healthcare in the past year. After enrollment, 35% completed LCS within one month and 55% completed LCS to date. Participants who completed post-surveys (n=22, 55%) indicated that the patient navigator was helpful. Common navigation activities included scheduling assistance, understanding screening results, addressing financial issues, and smoking cessation. Overall, participants approved of navigation approaches with a median Acceptability of Intervention Measure score of 5/5 (IQR: 4.8-5) and a median Patient Satisfaction with Interpersonal Relationship with Navigator score of 44.5/45 (IQR: 39.3-45). Conclusion: These single-arm pilot trials suggest tailored navigation for LCS for AI/AN and SGM communities is a useful approach to engage patients and address barriers and appears acceptable and welcomed. However, substantial variation in LCS completion may reflect complex barriers not addressed through navigation. Community-based and tailored navigation offers a promising approach to address LCS disparities, though further bi-directional refinement of patient navigation is necessary to optimize engagement and LCS completion. Citation Format: Ursula Tsosie, Katie DeCell, Nicolas Anderson, Madison Snidarich, Brandon Omernik, Nicholas Murphy, Matthew Triplette. Community-based lung cancer screening navigation for populations at high risk [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A158.

Abstract A054 Liver cancer mortality by structural disadvantage and race: An analysis of U.S. area-level factors

Abstract Introduction: Racial/ethnic and sex disparities in liver cancer (LC) mortality are well established; yet little is known about the contributions of county-level social risks on these disparities. Methods: We used U.S. national death certificate data from the National Center for Health Statistics (2018-2022) for LC mortality. County-level estimates of income inequality (ratio of household income at the 80th and 20th percentile), and median household income were obtained using the American Community Survey. Severe housing problems (percentage of households with 1 of 4 housing problems: overcrowding, high housing costs, lack of kitchen facilities, or lack of plumbing facilities) were abstracted from the U.S. Department of Housing and Urban Development (HUD) and U.S. Census Bureau. We estimated age-adjusted mortality rates (MR) and MR rate ratios (aRR) across metrics of county-level social risk grouped in quartiles overall and by race/ethnicity. Results: There were 101,088 liver cancer (LC) deaths from 2018-2022 (MR=6.16 per 100,000). Areas of highest county-level income inequality had 31% higher LC mortality compared to areas within the lowest quartile (aRR=1.31). LC MRs were 45% higher in counties with the lowest vs. highest median household income (aRR=1.45). Men and women in the highest quartile of severe housing problems had 29% and 22% higher LC MR (aRR=1.29 and 1.22, respectively), than those in the lowest quartiles. Men and women in the lowest quartile of median household income had 43% and 49% higher LC mortality than those in the highest median income quartiles (aRR=1.43 and 1.49, respectively). Within the highest quartile of income inequality, American Indian/Alaskan Native (AI/AN) persons had the highest LC mortality rates (MR=7.07), followed by Hispanic (MR=6.75), Black (MR=6.48), and Asian (MR=5.83) individuals. Similarly, in the highest quartile of severe housing problems, AI/AN persons had the highest LC mortality rate (MR 7.74), while Hispanic persons had 58% higher MR (MR 7.01), followed by Black (MR=6.19), Asian (MR=5.85) and White (MR=4.07) individuals. In the lowest median household income quartile, compared to White persons (MR=5.91), AI/AN persons had the highest MR (MR=8.86), and Hispanic persons had a 70% increase in mortality (MR=8.48). Among counties with the highest income inequality, compared to White persons (aRR=1.15), Black persons had an 80% increase in mortality (aRR=1.43). For those in the most concentrated quartile of severe housing problems, compared to White persons (aRR=1.07), AI/AN persons had an 80% increase in mortality (MR=1.34).Conclusion: All county-level indicators of highest social risk were associated with greater liver cancer mortality, but do not appear to fully account for racial and ethnic disparities in mortality. Therefore, place- based interventions are needed to address the role of county-level economic attributes in liver cancer mortality disparities. Citation Format: Jennifer K. McGee-Avila, Wayne R. Lawrence, Natalie Joe, Cameron B. Haas, Meredith S Shiels. Liver cancer mortality by structural disadvantage and race: An analysis of U.S. area-level factors [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A054.

Abstract C034: Impact of survivorship care plans on self-reported health and functional well-being

Abstract Introduction: Cancer survivors have varying physical, psychosocial, and informational needs. Organizations such as American Society of Clinical Oncology have developed survivorship care plans (SCP) for cancer screening, treatment side effect management, and care coordination. There is a need to better understand SCP utilization among underserved and diverse patient communities. Methods: Adults ages 18+ years with breast or colorectal cancer diagnosed between 2019 and 2021 were recruited from the Greater Bay Area Cancer Registry. Participants completed a 30-minute survey about their survivorship plans, quality of life, health behaviors, and social support. Analysis: Overall comparisons between groups were evaluated with chi-square tests. Associations between demographic characteristics and receipt of any type of survivorship plan were evaluated with univariate binomial logistic regression models, and associations between receipt of any type of survivorship plan and health/well-being outcomes were assessed using univariate ordinal regression models. Multivariable models will be built using relevant variables. Results: Participants (n=872) were on average 59 years (range=24-95) and mostly female (70.2%). Participants had either breast (41.3%) or colorectal cancer (58.7%). Participants were American Indian/Alaska Native (AIAN) (1.0%), Asian American (18.2%), NH Black (12.8%), NH White (38.0%), LatinX (29.0%), and Native Hawaiian or Pacific Islander (0.8%). Receipt of a SCP was reported by 258 (29.6%) participants, 328 (37.6%) had another type of post-treatment guide provided to them, and 224 (25.7%) were not offered any kind of survivorship plan. There were no differences in race/ethnicity, nativity status, non-English language spoken at home, marital status, or educational attainment between those who received any kind of survivorship plan vs. no plan. Being female was associated with 40% lower odds of receiving any kind of survivorship plan (OR=0.60, 95%CI=0.42-0.87). Being on public insurance was also associated with lower odds of receiving a survivorship plan than being on private insurance (OR=0.59, 95%CI=0.43-0.81). Receipt of a survivorship plan was associated with 52% higher odds of reporting a higher level of overall current health (OR=1.52, 95%CI=1.14-2.02) compared to those who did not receive any plan. Receiving a survivorship plan was also associated with higher odds of reporting a higher level of ability to work (OR=1.58, 95%CI=1.18-2.11), more fulfilling work (OR=1.69, 95%CI=1.27-2.23), ability to enjoy life (OR=1.55, 95%CI=1.17-2.06), ability to sleep well (OR=1.35, 95%CI=1.03-1.79), and contentment with their current quality of life (OR=1.51, 95%CI=1.14-1.99). Conclusion: Receipt of any survivorship plan was associated with higher levels of self-reported current overall health and measures of functional well-being. Women, as well as people on public insurance, are less likely to receive a survivorship plan, highlighting disparities in survivorship care planning for these populations. Citation Format: Aly M. Cortella, Katarina Wang, Debby Oh, Niharika Dixit, Zinnia Loya, Kathie Lau, Michelle Wadhwa, Chris Duffy, Salma Shariff-Marco, Kristan Olazo, Vlad Honcharov, Marika Dy, Urmimala Sarkar, Scarlett Lin Gomez. Impact of survivorship care plans on self-reported health and functional well-being [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C034.

Mind4Health: decolonizing gatekeeper trainings using a culturally relevant text message intervention.

When a person dies by suicide, it takes a reverberating emotional, physical, and economic toll on families and communities. The widespread use of social media among youth and adolescents, disclosures of emotional distress, suicidal ideation, intent to self-harm, and other mental health crises posted on these platforms have increased. One solution to address the need for responsive suicide prevention and mental health services is to implement a culturally-tailored gatekeeper training. The Northwest Portland Area Indian Health Board (NPAIHB) developed Mind4Health, an online gatekeeper training (90 min) and text message intervention for caring adults of American Indian/Alaska Native (AI/AN) youth. The Mind4Health intervention was a multi-phase, single-arm, pre-and post-test study of users enrolled in the intervention that is available via text message (SMS) or via a 90 min online, self-paced training. We produced four datasets in this study: Mobile Commons, pre-survey data, post-survey data, and Healthy Native Youth website's Google Analytics. The analysis included data cleaning, basic frequency counts, percentages, and descriptive statistics. Qualitative data were analyzed using thematic content analysis methods and hand-coding techniques with two independent coders. From 2022 to 2024, 280 people enrolled in the Mind4Health SMS training, and 250 completed the 8-week intervention. Many messages in the sequence were multi-part text messages and over 21,500 messages were sent out during the timeframe. Of the 280 subscribers, 52 participated in the pre-survey. Pre-survey data show that 94% of participants were female, and nearly one-fourth lived in Washington state, 92% of participants in the pre-survey were very to moderately comfortable talking with youth about mental health (n = 48). Most participants interact with youth in grades K-12. Post-survey data demonstrate changes in knowledge, beliefs, comfort talking about mental health, and self-efficacy among participants. Mind4Health improved participant's skills to have mental health conversations with youth and refer youth to resources in their community.

Alzheimer's disease and related dementia diagnoses among American Indian and Alaska Native adults aged ≥45 years, Indian Health Service System, 2016-2020.

Alzheimer's disease is the most common type of dementia and is responsible for up to 80% of dementia diagnoses and is the sixth leading cause of death in the United States. An estimated 38,000 American Indian/Alaska Native (AI/AN) people aged ≥65 years were living with Alzheimer's disease and related dementias (ADRD) in 2020, a number expected to double by 2030 and quadruple by 2050. Administrative healthcare data from the Indian Health Service (IHS) were used to estimate ADRD among AI/AN populations. Administrative IHS healthcare data from federal fiscal years 2016 to 2020 from the IHS National Data Warehouse were used to calculate the count and rate per 100,000 AI/AN adults aged ≥45 years with at least one ADRD diagnosis code on their medical record. This study identified 12,877 AI/AN adults aged ≥45 years with an ADRD diagnosis code, with an overall rate of 514 per 100,000. Of those, 1856 people were aged 45-64. Females were 1.2 times (95% confidence interval: 1.1-1.2) more likely than males to have a medical visit with an ADRD diagnosis code. Many AI/AN people with ADRD rely on IHS, tribal, and urban Indian health programs. The high burden of ADRD in AI/AN populations aged 45-64 utilizing IHS health services highlights the need for implementation of ADRD risk reduction strategies and assessment and diagnosis of ADRD in younger AI/AN populations. This study provides a baseline to assess future progress for efforts addressing ADRD in AI/AN communities.

Changing the narrative: Addressing American Indian/Alaska Native mental health needs through academic holistic support

American Indian/Alaska Natives (AIAN) have some of the highest health disparities and poorest outcomes of all racial or ethnic minority groups in the United States. Across all age groups, suicide is 2.5 times higher in AIANs than the national average (National Indian Council on Aging, 2019). Cultural and institutional barriers prevent AIAN undergraduate and graduate college students from seeking mental health services, and many serious mental health problems remain untreated.While numerous barriers to mental health services exist for AIAN students, Indigenous faculty and support staff who share deep understanding of history, culture and traditional view of health and wellness can reduce the barriers and promote mental health and wellness for students. Shifting the focus to introduce a new narrative gives way to greater recognition of factors that create health and may help academic institutions provide holistic support for AIAN and other underrepresented students. The new narrative includes holistic strength-based support, social support, and fostering cultural identity and pride enhances mental health and success. Indigenization of the doctoral nursing curriculum supports faculty who are committed to decolonizing course content and institutionalized pedagogy.Improved health outcomes for Indigenous individuals and other underrepresented students will positively affect communities through increasing diversity of APRNs, nursing faculty, and nursing scholars.

Prevalence of alcohol use disorders documented in electronic health records in primary care across intersections of race or ethnicity, sex, and socioeconomic status

BackgroundDiagnosis of alcohol use disorder (AUD) in primary care is critical for increasing access to alcohol treatment. However, AUD is underdiagnosed and may be inequitably diagnosed due to societal structures that determine access to resources (e.g., structural racism that limits opportunities for some groups and influences interpersonal interactions in and beyond health care). This study described patterns of provider-documented AUD in primary care across intersections of race, ethnicity, sex, and community-level socioeconomic status (SES).MethodsThis cross-sectional study used EHR data from a regional healthcare system with 35 primary care clinics that included adult patients who completed alcohol screenings between 3/1/2015 and 9/30/2020. The prevalence of provider-documented AUD in primary care based on International Classification of Diseases-9 (ICD-9) and ICD-10 diagnoses was compared across intersections of race, ethnicity, sex, and community-level SES.ResultsAmong 439,375 patients, 6.6% were Latine, 11.0% Asian, 5.4% Black, 1.3% Native Hawaiian/Pacific Islander (NH/PI), 1.5% American Indian/Alaska Native (AI/AN), and 74.2% White, and 58.3% women. The overall prevalence of provider-documented AUD was 1.0% and varied across intersecting identities. Among women, the prevalence was highest for AI/AN women with middle SES, 1.5% (95% CI 1.0–2.3), and lowest for Asian women with middle SES, 0.1% (95% CI 0.1–0.2). Among men, the prevalence was highest for AI/AN men with high and middle SES, 2.0% (95% CI 1.1–3.4) and 2.0% (95% CI 1.2–3.2), respectively, and lowest for Asian men with high SES, 0.5% (95% CI 0.3–0.7). Black and Latine patients tended to have a lower prevalence of AUD than White patients, across all intersections of sex and SES except for Black women with high SES. There were no consistent patterns of the prevalence of AUD diagnosis that emerged across SES.ConclusionThe prevalence of provider-documented AUD in primary care was highest in AI/AN men and women and lowest in Asian men and women. Findings of lower prevalence of provider-documented AUD in Black and Hispanic than White patients across most intersections of sex and SES differed from prior studies. Findings may suggest that differences in access to resources, which vary in effects across these identity characteristics and lived experiences, influence the diagnosis of AUD in clinical care.

Regional Differences in American Indian/Alaska Native Chronic Respiratory Disease Disparity: Evidence from National Survey Results.

American Indian/Alaska Native (AI/AN) persons in the US experience a disparity in chronic respiratory diseases compared to white persons. Using Behavioral Risk Factor Surveillance System (BRFSS) data, we previously showed that the AI/AN race/ethnicity variable was not associated with asthma and/or chronic obstructive pulmonary disease (COPD) in a BRFSS-defined subset of 11 states historically recognized as having a relatively high proportion of AI/AN residents. Here, we investigate the contributions of the AI/AN variable and other sociodemographic determinants to disease disparity in the remaining 39 US states and territories. Using BRFSS surveys from 2011 to 2019, we demonstrate that irrespective of race, the yearly adjusted prevalence for asthma and/or COPD was higher in the 39-state region than in the 11-state region. Logistic regression analysis revealed that the AI/AN race/ethnicity variable was positively associated with disease in the 39-state region after adjusting for sociodemographic covariates, unlike in the 11-state region. This shows that the distribution of disease prevalence and disparity for asthma and/or COPD is non-uniform in the US. Although AI/AN populations experience this disease disparity throughout the US, the AI/AN variable was only observed to contribute to this disparity in the 39-state region. It may be important to consider the geographical distribution of respiratory health determinants and factors uniquely impactful for AI/AN disease disparity when formulating disparity elimination policies.

Underrepresentation of Racial and Ethnic Minorities in Metastatic Colorectal Carcinoma Clinical Trials within the United States.

To investigate if underrepresentation of racial and ethnic minorities exists in metastatic colorectal carcinoma (CRC) clinical trials. Representation of vulnerable subpopulations is essential for generalizability of clinical trials. Limited studies to date have investigated racial and ethnic representation of patients enrolled in clinical trials for metastatic CRC. ClinicalTrials.gov was queried for metastatic CRC clinical trials in the United States from 2000-2020. Incidence data were extracted from the SEER Database. Enrollment fraction (EF) was defined as number of trial participants divided by U.S. incidence of metastatic CRC in each race, ethnicity, and gender. Representation Quotient (RQ) was defined as the proportion of trial participants divided by proportion of U.S. metastatic CRC incidence for each subgroup. 8084 patients from 135 clinical trials were analyzed. 49.6% of clinical trials reported race data and 34.8% reported ethnicity data. Compared to 2000-2009, 2010-2019 had increased representation data reporting for race (61.2% vs. 38.8%) and ethnicity (64.6% vs. 35.4%). Of trials with race data, White patients represented 77.0%, Black patients 6.6%, Asian/Pacific Islander (API) patients 16.1%, American Indian/Alaska Native (AIAN) patients 0.2%, and Hispanic patients 6.8%. Black patients (median RQ 0.54), API patients (median RQ 0.19), AIAN patients (median RQ 0.00), and Hispanic patients (median RQ 0.26) were underrepresented. Black patients had a higher degree of underrepresentation in clinical trials with serum creatinine inclusion criteria (RQ 0.40 vs. 0.86, P=0.034). Strategies are needed to increase minority enrollment in clinical trials for metastatic CRC. Identification of systemic barriers is integral in public policy advocacy to increase representation.

Quantifying the Burden of Opioid Use Disorder and Non-fatal Opioid Overdose in American Indian and Alaskan Native Populations Using the Cerner Real-World Data™ Database.

This study evaluated the prevalence and incidence of opioid use disorder (OUD), rates of opioid overdose (OD), and rates of non-fatal (NF) OD in American Indian/Alaskan Native (AI/AN) populations. We used de-identified patient data from Oracle Cerner Real-World Data™. Rates were estimated over time, and stratified by sex, age, marital status, insurance, and region. Mann-Kendall trend tests and Theil-Sen slopes assessed changes over time for each group while autoregressive modeling assessed differences between groups. The study identified trends in OUD and OD among 700,225 AI/AN patients aged 12 and above. Between 2012 and 2022, there was a significant upward trend in both OUD and OD rates(p < 0.05) , with OUD diagnosed in 1.75% and OD in 0.38% of the population. The Western region of the US exhibited the highest rates of OUD and OD. The 35-49 age group showed the highest rates of OUD, while the 12-34 age group had the highest rates of OD. Marital status analysis revealed higher rates of OUD and OD among separated, widowed, or single patients. Additionally, individuals with Medicare or Medicaid insurance demonstrated the highest rates of OUD and OD. Results show that rates of OUD, OD, and NF OD continue to rise among AI/AN individuals, with some regional and demographic variation. Our study provides foundational estimates of key AI/AN populations bearing greater burdens of opioid-related morbidity that federal, state, and tribal organizations can use to direct and develop targeted resources that can improve the health and well-being of AI/AN communities.

Study Protocol for the Opioid and Pain Treatment in Indigenous Communities Trial: A Systems Level Intervention for Enhanced Screening and Brief Intervention and Referral for Co-Occurring Chronic Pain and Opioid Use Disorder.

American Indian/Alaska Native (AI/AN) individuals have the highest rates of opioid overdose mortality and chronic pain (CP) compared to other racial/ethnic groups in the United States. These individuals also report higher rates of pain anxiety and pain catastrophizing, which are both associated with poorer outcomes and risk for opioid misuse (OM) and opioid use disorder (OUD) among individuals with CP. Yet, no prior studies have examined rates of comorbid pain and OUD among AI/AN adults. This commentary describes an implementation research partnership of 3 AI/AN-serving clinics and a university team that utilizes an implementation hybrid type III design to examine the impact of implementation strategies on adoption and sustainability of evidence-based screening and brief intervention for CP and OM/OUD among AI/AN clients. As part of our community-engaged approach, we embrace both AI/AN models and Western models, and a collaborative board of 10 individuals guided the research throughout. We hypothesize that our culturally centered approach will increase rates of screening and brief intervention and improve identification of and outcomes among AI/AN clients with CP and OUD who receive treatment at participating sites. Each site convenes a workgroup to evaluate and set goals to culturally center screening and brief interventions for CP and OM/OUD. Data collected include deidentified electronic health records to track screening and brief interventions and rates of CP and OUD; provider and staff surveys beginning prior to implementation and every 6 months for 2 years; and a subset of clients will be recruited (N = 225) and assessed at baseline, 6, and 12 months to examine biopsychosocial and spiritual factors and their experiences with culturally centered screening and brief intervention. Cultural adaptations to the measures and screening and brief intervention as well as barriers and facilitators will be addressed. Recommendations for successful Tribal health clinic-university partnerships are offered.

Analysis of eligibility criteria in Alzheimer’s and related dementias clinical trials

Overly restrictive clinical trial eligibility criteria can reduce generalizability, slow enrollment, and disproportionately exclude historically underrepresented populations. The eligibility criteria for 196 Alzheimer’s Disease and Related Dementias (AD/ADRD) trials funded by the National Institute on Aging were analyzed to identify common criteria and their potential to disproportionately exclude participants by race/ethnicity. The trials were categorized by type (48 Phase I/II pharmacological, 7 Phase III/IV pharmacological, 128 non-pharmacological, 7 diagnostic, and 6 neuropsychiatric) and target population (51 AD/ADRD, 58 Mild Cognitive Impairment, 25 at-risk, and 62 cognitively normal). Eligibility criteria were coded into the following categories: Medical, Neurologic, Psychiatric, and Procedural. A literature search was conducted to describe the prevalence of disparities for eligibility criteria for African Americans/Black (AA/B), Hispanic/Latino (H/L), American Indian/Alaska Native (AI/AN) and Native Hawaiian/Pacific Islander (NH/PI) populations. The trials had a median of 15 criteria. The most frequent criterion were age cutoffs (87% of trials), specified neurologic (65%), and psychiatric disorders (61%). Underrepresented groups could be disproportionately excluded by 16 eligibility categories; 42% of trials specified English-speakers only in their criteria. Most trials (82%) contain poorly operationalized criteria (i.e., criteria not well defined that can have multiple interpretations/means of implementation) and criteria that may reduce racial/ethnic enrollment diversity.

Hepatitis C Virus Care Cascade by Race/Ethnicity in a Statewide Correctional Population, 2019-2023.

Hepatitis C virus (HCV) care cascade data by race/ethnicity for US correctional populations are sparse. To evaluate the HCV care cascade by race/ethnicity for a state correctional population. This retrospective cohort study used Connecticut Department of Correction data for incarcerated individuals tested, diagnosed, and treated for chronic HCV infection with direct-acting antivirals (DAAs) from 2019 to 2023. HCV care cascade outcomes, including testing, treatment, and cure rates, were compared by race/ethnicity. Poisson regression was used to estimate prevalence ratios (PRs), with adjustment for demographic and legal status factors. A total of 24,867 patients tested for HCV (88.9% men, mean (SD) age 35.6 (11.8), 32.7% White, 37.9% Black, 28.4% Hispanic, 0.6% Asian, 0.4% American Indian/Alaska Native (AIAN), 34.7% sentenced ≥ 1year). Both HCV exposure and chronic HCV were highest for White (27.1% and 15.2%) and lowest for Black individuals (4.6% and 2.6%) (P < 0.01, for both outcomes). While incarcerated, 63.2% of chronic HCV patients started DAAs, and treatment rates did not significantly differ by race/ethnicity (P > 0.05). For those treated and having post-treatment lab data available, cure rates were 98.8% or better for all racial/ethnic groups (P > 0.05). In the adjusted regression analyses, HCV treatment initiation was lower for those sentenced < 1year (PR, 0.76; 95% CI, 0.67-0.87) and unsentenced (PR, 0.85; 95% CI, 0.80-0.91) than those sentenced ≥ 1year. The adjusted prevalence of advanced fibrosis stage/activity grade was not significantly associated with race/ethnicity. In this cohort study, less than two-thirds of chronic HCV patients initiated DAA treatment during their incarceration, and for those with available data, nearly all were cured. While there were disparities in HCV exposure and chronic HCV infection, significant racial/ethnic differences were not observed for treatment initiation or cure rates. Further efforts are needed to increase HCV treatment, especially for patients with shorter incarceration periods.